We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles Smarten Application Security: Password patterns and configurations in Smarten Smarten Application Security: Brute […]
Category: Smarten Advanced Data Discovery
Provide the Right Augmented Analytics Solution and Features for Business Users! Business competition is intense and markets are changing rapidly. What worked yesterday, does not work today and it is crucial for businesses to have an in-depth understanding of what is changing, how customer buying […]
This article describes the analytical technique of gradient boosting regression. What is Gradient Boosting Regression? Gradient Boosting Regression is an analytical technique that is designed to explore the relationship between two or more variables (X, and Y). Its analytical output identifies important factors ( Xi […]
This article describes the analytical technique of random forest regression. What is Random Forest Regression? Random Forest Regression creates a set of Decision Trees from a randomly selected subset of the training set, and aggregates by averaging values from different decision trees to decide the final target value. Random Forest Regression is […]
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles Assisted Predictive Model: Handling Outliers Using Smarten Assisted Predictive Modelling Others: Handling UTF […]
One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When business users adopt true self-serve BI tools like Plug n’ Play Predictive Analysis, Smart Data Visualization, and Self-Serve Data Preparation, they […]
1. Outlier, an Outsider! Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. In layman’s terms, an outlier can be interpreted as any value that is numerically far-flung from […]
How Can I Make it Easier for Business Users to Perform Analytics? When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will […]
When a business user takes on the new role of Citizen Data Scientist, it is often with misgivings and concerns. If their business and management team have not adequately explained the expectations of this new role, or made the workflow and cultural changes required to […]
Is Predictive Analytics Real or Does it Promise More Than it Delivers? Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan […]